Bibliographic record
Abstract
Si la musique peut aujourd’hui trouver sa place dans un parcours muséographique, sa nature même d’art de l’instant, nécessitant une diffusion pour prendre tout son sens, lui confère un statut différent de celui des œuvres d’art plastiques conservées comme objets dans les collections des musées. Cette particularité de l’objet musical ou de l’objet sonore ne cesse d’interroger les professionnels des musées. Deux d’entre eux nous donnent leurs points de vue. Le muséographe, designer d’expositions et de spectacles Marc Benaïche, enseignant le design de l’expérience utilisateur à l’université Paris 8, concepteur de la future exposition permanente pour la Seine musicale dans les Hauts-de-Seine. Le conservateur du patrimoine Alexandre Girard-Muscagorry, chargé des collections d’Afrique, d’Asie, d’Océanie et des Amériques à la Philharmonie de Paris, co-commissaire de l’exposition Fela Anikulapo-Kuti : Rébellion Afrobeat à voir au musée de la Musique jusqu’au 11 juin 2023.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".